Guide-linked quiz · Medium Level

Constitutional AI Quiz

Review the original Constitutional AI training stages, with written principles, critique and revision, AI preferences, and retained human helpfulness data.

Related guide pathsConstitutional AI
Question 1 of 8

What is the 'constitution' in Constitutional AI?

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  1. What is the 'constitution' in Constitutional AI?
    • A legal contract between the user and the company
    • The model's neural network architecture
    • An explicit written set of principles the model uses to critique and guide its own responses
    • A list of banned vocabulary words
  2. What annotation burden does the original Constitutional AI study aim to reduce?
    • Every possible source of human judgment or training data
    • All model memory during inference
    • The need to evaluate any model behavior
    • Reliance on human labels identifying harmful outputs
  3. In the supervised stage of Constitutional AI, what does the model do to its own output?
    • Deletes it without explanation
    • Critiques it against a principle and then revises it to be better
    • Translates it into a different language
    • Encrypts it for safety
  4. What does RLAIF stand for in the reinforcement-learning stage?
    • Reinforcement Learning from AI Feedback
    • Recursive Learning Among Internal Functions
    • Reduced Latency AI Framework
    • Random Label Assignment In Fine-tuning
  5. What transparency benefit can written constitutional principles provide?
    • A complete display of every learned internal preference
    • Proof that every future response follows all principles
    • Automatic elimination of the preference model
    • An inspectable statement of intended guidance used in the process
  6. Which broader research idea does using AI-generated supervision support?
    • Eliminating every evaluation by definition
    • Exploring how AI can help supervise other AI systems
    • Guaranteeing zero cost for all future training
    • Automatically increasing every model’s vocabulary
  7. Does editing a constitution document alone retroactively change the weights of an already saved trained model?
    • No; a training or runtime process must use the changed guidance
    • Yes; all saved checkpoints instantly rewrite themselves
    • Yes; written words directly become new neural weights without execution
    • No model process can ever consume written principles
  8. Which human comparison data did the original Constitutional AI RL experiments retain alongside AI harmlessness preferences?
    • Only human GPU-temperature measurements
    • No human comparison data of any kind
    • Human helpfulness comparisons
    • A mandatory human label for every harmlessness pair

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